iPhone 16 Pro
Geekbench AI Score
4665
Single Precision Score
33443
Half Precision Score
45274
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 31 2025 06:05 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone 16 Pro |
| Model ID | iPhone17,1 |
| Motherboard | D93AP |
| CPU Information | |
|---|---|
| Name | Apple A18 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2069
384.7 IPS |
|
|
Image Classification (HP)
|
100% |
14696
2.73 KIPS |
|
|
Image Classification (Q)
|
97% |
19075
3.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1859
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18097
293.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23593
382.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9128
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
152154
177.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
290053
340.0 IPS |
|
|
Object Detection (SP)
|
100% |
2347
186.1 IPS |
|
|
Object Detection (HP)
|
100% |
15571
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
21813
1.74 KIPS |
|
|
Face Detection (SP)
|
100% |
3711
44.1 IPS |
|
|
Face Detection (HP)
|
100% |
40215
477.8 IPS |
|
|
Face Detection (Q)
|
100% |
53378
634.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8152
62.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
94466
727.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
156076
1.22 KIPS |
|
|
Style Transfer (SP)
|
100% |
22480
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
245136
315.1 IPS |
|
|
Style Transfer (Q)
|
96% |
295584
381.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5600
206.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51394
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80367
2.97 KIPS |
|
|
Text Classification (SP)
|
100% |
3687
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6154
8.21 KIPS |
|
|
Text Classification (Q)
|
93% |
6069
8.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
4227
72.8 IPS |
|
|
Machine Translation (HP)
|
100% |
9432
162.5 IPS |
|
|
Machine Translation (Q)
|
98% |
10580
182.8 IPS |
